Definition
Synthetic monitoring is a form of proactive performance and availability monitoring. Instead of waiting for real visitors to encounter a problem, an automated test visits a page or follows a defined workflow—such as signing in, submitting a form, or moving through a checkout—and records what happened.
Tests run from chosen locations, devices, browsers, or network conditions at planned intervals. Teams can compare results with a baseline, inspect measures such as Core Web Vitals and load timing, and set up monitoring for important pages or scenarios.
Synthetic monitoring is not the same as real user monitoring (RUM). Synthetic tests use controlled, simulated traffic, while RUM measures the performance experienced by real people on their own devices, networks, and locations. The two approaches complement each other: synthetic monitoring is useful for repeatable checks and regression detection, while RUM shows the range of experiences that actually occur.
What does that mean
Think of a robot that visits your most important pages on a timetable and reports whether the pages worked and how fast they were. It checks the same route each time, so changes are easier to spot.
Why this matters.
Synthetic monitoring gives teams an early warning system for critical digital experiences. IT can investigate issues before they become widespread, Product can validate releases and redesigns, and Ecommerce can protect journeys where slow or unavailable pages may prevent a purchase.
Use cases
Catch performance regressions before release
A new release, dependency, or infrastructure change can make an important page slower without producing an obvious functional error. This is especially difficult to catch when teams test manually or only inspect a small number of real sessions.
Teams can run the same synthetic page and workflow tests before and after a change, using a consistent browser, device, location, and network setup. Comparing the results with a baseline makes unexpected changes in load timing, Core Web Vitals, or workflow completion easier to isolate.
The expected benefit is earlier detection of regressions, more confidence in releases, and a smaller window in which customers are exposed to a degraded experience.
Protect critical pages and workflows in production
A homepage, login flow, search experience, product page, or checkout can become unavailable or unusably slow between deployments. Waiting for support tickets or a visible conversion drop delays diagnosis.
Scheduled tests can repeatedly exercise the highest-value pages and workflows and flag when availability or performance moves beyond an accepted threshold. Scenario-based tests can cover multi-step journeys, including forms, conversion funnels, and post-login areas.
The expected benefit is faster awareness of customer-facing problems and a more consistent experience across important devices, browsers, and locations.
Prioritize fixes using business impact
A performance issue may be technically severe but affect few customers, while a smaller slowdown on a high-traffic page may have a larger commercial effect. Technical dashboards alone do not show which improvement deserves attention first.
Teams can use synthetic results to identify and reproduce a performance problem, then combine them with real-user and behavioral data to compare affected audiences, journeys, conversions, or revenue. This connects a controlled test signal with what customers and the business experience.
The expected benefit is better prioritization, clearer communication between technical and business teams, and investment in fixes with the greatest likely customer or commercial value.
See it in practice
Specsavers used synthetic Core Web Vitals checks to establish a performance baseline before a PHP replatforming project. Later, synthetic checks revealed a 68% reduction in Largest Contentful Paint on Store Locator pages, while Contentsquare connected the improvements to more bookings, more revenue, and a better customer experience. The customer page headline reports a 33% boost in conversion rate.
How Contentsquare helps.
Speed Analysis — Its Web Performance capability combines synthetic monitoring with real user monitoring, letting teams test key pages and workflows, compare performance, and inspect metrics such as Core Web Vitals.
Alerts — Alerts can notify teams about performance degradations, error spikes, or drops in business metrics so they can investigate problems before they spread.
Impact Quantification — Impact Quantification helps connect a performance issue or user behavior to conversions, revenue, and affected audiences, making it easier to prioritize work.
Session Replay — Session Replay adds context from real user sessions, helping teams see what customers experienced after a synthetic test identifies a problem.
FAQs on synthetic monitoring
It is used to check the availability, performance, and behavior of selected pages or workflows on a repeatable schedule. Common targets include login, search, forms, checkout, and other journeys where failure or delay matters.
Because the tests run proactively, teams can detect regressions and investigate issues before they are reported by customers or become visible in business metrics.